SOTAVerified

Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–625 of 2226 papers

TitleStatusHype
Federated Variational Inference: Towards Improved Personalization and Generalization—0
Explaining Emergent In-Context Learning as Kernel Regression—0
PDE-constrained Gaussian process surrogate modeling with uncertain data locationsCode0
Augmented Message Passing Stein Variational Gradient Descent—0
Massively Parallel Reweighted Wake-Sleep—0
A Simple Generative Model of Logical Reasoning and Statistical Learning—0
Model-based Validation as Probabilistic InferenceCode0
Score Operator Newton transport—0
Thompson Sampling for Parameterized Markov Decision Processes with Uninformative Actions—0
Locking and Quacking: Stacking Bayesian model predictions by log-pooling and superposition—0
Object based Bayesian full-waveform inversion for shear elastography—0
Sequential Experimental Design for Spectral Measurement: Active Learning Using a Parametric Model—0
The Compositional Structure of Bayesian Inference—0
CosmoPower-JAX: high-dimensional Bayesian inference with differentiable cosmological emulatorsCode1
Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics—0
Location Tracking for Reconfigurable Intelligent Surfaces Aided Vehicle Platoons: Diverse Sparsities Inspired Approaches—0
Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance—0
A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes—0
Inferential Moments of Uncertain Multivariable Systems—0
Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss InformationCode0
Variational Inference for Bayesian Neural Networks under Model and Parameter UncertaintyCode0
Bayesian Inference-assisted Machine Learning for Near Real-Time Jamming Detection and Classification in 5G New Radio (NR)—0
Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems—0
Machine Learning and the Future of Bayesian Computation—0
Individual Fairness in Bayesian Neural NetworksCode0
Show:102550
← PrevPage 25 of 90Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1F-SWAAccuracy83.61—Unverified
2F-SWAGAccuracy80.93—Unverified